96cd62bc79
- Inversion axe Y du DTM pour orientation nord correcte - Fallback filters.range pour fichiers LAZ avec ReturnNumber=0 - Flèche nord vectorielle noire au-dessus de la légende - 9/9 fichiers traités avec succès Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
100 lines
3.0 KiB
Python
Executable File
100 lines
3.0 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Script pour analyser et corriger les fichiers LAZ avec ReturnNumber=0
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"""
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import sys
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import json
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import subprocess
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from pathlib import Path
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def analyze_return_numbers(laz_file):
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"""Analyse les valeurs ReturnNumber dans un fichier LAZ"""
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print(f"Analyse de {laz_file}...")
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# Pipeline PDAL pour extraire les statistiques ReturnNumber
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stats_pipeline = [
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{
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"type": "readers.las",
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"filename": str(laz_file)
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},
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{
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"type": "filters.stats",
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"dimensions": "ReturnNumber,NumberOfReturns"
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}
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]
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stats_json = json.dumps(stats_pipeline)
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stats_file = Path("/tmp/analyze_stats.json")
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with open(stats_file, 'w') as f:
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f.write(stats_json)
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result = subprocess.run(['pdal', 'pipeline', str(stats_file)],
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capture_output=True, text=True)
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if result.returncode == 0:
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data = json.loads(result.stdout)
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stats = data.get('stats', {}).get('statistic', [])
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print(f" Statistiques ReturnNumber:")
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for stat in stats:
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if stat.get('name') == 'ReturnNumber':
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counts = stat.get('counts', {})
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for val, count in counts.items():
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if count > 0:
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pct = count / stat.get('total', 1) * 100
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print(f" ReturnNumber={val}: {count} points ({pct:.1f}%)")
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else:
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print(f" Erreur: {result.stderr}")
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def fix_return_numbers(laz_file, output_file):
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"""Corrige les valeurs ReturnNumber=0 en utilisant une approche différente"""
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print(f"Tentative de correction de {laz_file}...")
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# Approche: utiliser filters.python pour modifier les valeurs
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fix_pipeline = [
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{
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"type": "readers.las",
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"filename": str(laz_file)
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},
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{
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"type": "filters.python",
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"script": """
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def filter(ins, args):
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for point in ins:
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if point.ReturnNumber == 0:
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point.ReturnNumber = 1
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if point.NumberOfReturns == 0:
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point.NumberOfReturns = 1
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return True
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"""
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},
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{
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"type": "writers.las",
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"filename": str(output_file),
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"extra_dims": "all"
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}
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]
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fix_json = json.dumps(fix_pipeline, indent=2)
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fix_file = Path("/tmp/fix_pipeline.json")
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with open(fix_file, 'w') as f:
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f.write(fix_json)
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result = subprocess.run(['pdal', 'pipeline', str(fix_file)],
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capture_output=True, text=True)
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if result.returncode == 0:
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print(f" ✓ Correction réussie: {output_file}")
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return True
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else:
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print(f" ✗ Erreur correction: {result.stderr}")
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return False
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if __name__ == "__main__":
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laz_file = sys.argv[1] if len(sys.argv) > 1 else "/data/input/LHD_FXX_1000_6882_PTS_LAMB93_IGN69.copc.laz"
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analyze_return_numbers(laz_file)
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output_file = laz_file.replace(".laz", "_fixed.laz").replace("/input/", "/temp/")
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fix_return_numbers(laz_file, output_file)
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